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BATT vs LITP
BATT vs LITP Comparison
Open Charts BATT vs LITP
Amplify Lithium & Battery Tech ETF
Price$12.06
Change+$0.15 (+1.26%)
Volume$338
Net Assets72.24M
Sprott Lithium Miners ETF
Price$7.94
Change+$0.09 (+1.15%)
Volume$1.03K
Net Assets21.36M
BATT vs LITP Comparison Chart in %
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BATT vs. LITP commentary
Sep 18, 2025
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BATT is a StrongBuy and LITP is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
BATT has more net assets: 72.2M vs. LITP (21.4M). BATT has a higher annual dividend yield than LITP: BATT (35.341) vs LITP (17.522). BATT was incepted earlier than LITP: BATT (7 years) vs LITP (3 years). BATT (0.59) has a lower expense ratio than LITP (0.65). BATT has a higher turnover LITP (49.00) vs LITP (49.00).
| BATT | LITP | BATT / LITP | |
| Gain YTD | 35.341 | 17.522 | 202% |
| Net Assets | 72.2M | 21.4M | 337% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 69.00 | 49.00 | 141% |
| Yield | 2.51 | 5.41 | 46% |
| Fund Existence | 7 years | 3 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LITP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 84% | 3 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 82% |
| Momentum ODDS (%) | 7 days ago 85% | 2 days ago 87% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| Advances ODDS (%) | 3 days ago 89% | 10 days ago 84% |
| Declines ODDS (%) | 8 days ago 89% | 8 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 81% | 2 days ago 81% |
| Aroon ODDS (%) | 2 days ago 87% | 2 days ago 90% |
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Interesting Tickers
BATT and
Correlation & Price change
A.I.dvisor indicates that over the last year, BATT has been closely correlated with BHP. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then BHP could also see price increases.
1D
1W
1M
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6M
1Y
5Y
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -0.33% | ||
| BHP - BATT | 72% Closely correlated | -1.26% | ||
| ALB - BATT | 69% Closely correlated | -0.12% | ||
| SQM - BATT | 66% Closely correlated | +0.41% | ||
| LAC - BATT | 60% Loosely correlated | +0.62% | ||
| SGML - BATT | 58% Loosely correlated | +1.55% | ||
More | ||||
LITP and
Correlation & Price change
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | -0.69% | ||
| SQM - LITP | 75% Closely correlated | +0.41% | ||
| ALB - LITP | 73% Closely correlated | -0.12% | ||
| LAR - LITP | 71% Closely correlated | N/A | ||
| SGML - LITP | 67% Closely correlated | +1.55% | ||
| LAC - LITP | 64% Loosely correlated | +0.62% | ||
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